The WorkBuddy team launched the first third‑party AI agent app on HarmonyOS desktop in four weeks by turning their own product into a development assistant that handled research, coding, testing, and issue resolution, demonstrating AI as a true collaborator in software creation.
The article distills seven make-or-break factors—low entry barrier, end‑to‑end scenario closure, production‑grade maturity, balanced architecture, clear capability limits, story‑driven demos, and focused competitiveness—that determine whether an ontology‑based solution can move from a lab prototype to a reliable product that customers will actually adopt.
FinXScope, a financial‑grade AI‑native agent base built on AgentScope Java, serves as the core engine of the Agent Harness system, offering multi‑agent orchestration, dual‑mode execution, six‑layer architecture, high‑availability, security, observability and low‑code to high‑code pathways, and has already been adopted by dozens of leading financial institutions.
The article breaks down the eight critical stages of modern procurement—request, supplier management, inquiry, order, follow‑up, receiving, invoicing, and payment—showing how a disciplined, data‑driven process links production, inventory, finance and cash flow to boost overall enterprise efficiency.
The article details the challenges of the legacy Py4OH‑1.0 toolchain for OpenHarmony, explains how Huawei Cloud CodeArts (Py4OH) was used to completely refactor the project with spec‑driven development, AI‑assisted code generation, automated review, and secure, cross‑platform deployment, dramatically reducing code size and development friction.
This guide shows how small businesses can use Feishu’s free AI fields in multi‑dimensional tables to automatically classify customer intent, generate personalized follow‑up messages, and produce weekly summary reports—without code or cost—while highlighting common pitfalls to avoid.
This article details how front‑end developers used a low‑code DDDD trainer and AI‑generated PyTorch CNN code to build high‑accuracy captcha recognizers, achieving up to 99% sequence accuracy while illustrating a workflow that lets developers shift from UI coding to model training with AI assistance.
The article explains how AI lowers the barrier to entrepreneurship, outlines six practical AI‑driven business models—from content creation and tool training to vertical AI solutions and overseas product launches—and offers three validation questions and actionable advice for ordinary people to launch low‑cost, AI‑powered ventures.
The article details a step‑by‑step case study of building an AI‑powered customer‑service assistant on an MCP workflow, showing how the team reduced average ticket handling time from 5.3 hours to 10 minutes, cut over 500 tickets, and improved processing efficiency by 97 % through low‑code MVP development, iterative rollout, and operation‑level governance.
The article analyzes five common agent architecture paradigms, explains their strengths and weaknesses, recommends suitable frameworks for each, and provides a five‑step decision process to help teams select the most appropriate architecture for their business needs.
An 8‑year‑old child turned his hand‑drawn OS concept into a working prototype with Baidu's Miaodao 3.0, while the article analyses how the platform’s four‑dimensional upgrade lowers the barrier to AI‑driven native app creation for both individuals and enterprises.
Facing hour‑level demands for new educational tools, Yuanfudao created the internal Rush platform that lets any employee describe a need in natural language and instantly receive a full‑stack application, thanks to Volcano Supabase’s AI‑native BaaS, dramatically cutting development time, cost, and operational complexity.
The article presents a production‑grade solution that lets users describe a form in natural language, then uses a Spring AI Alibaba ReactAgent powered by a ReAct reasoning loop to retrieve templates, validate fields, generate layout, enforce governance, and finally emit a versioned JSON schema ready for deployment.
The article analyzes Palantir’s core platforms—Gotham, Foundry, and the AI Platform (AIP)—explaining how its ontology‑driven data integration and low‑code AI Agent capabilities break data silos, accelerate decision‑making, and create measurable business value across government, defense, and commercial sectors.
The article explores Vibe Coding—a new AI‑driven human‑machine collaboration paradigm—by recounting a real‑world case, outlining its historical evolution, analyzing three underlying drivers, detailing a three‑step workflow, showcasing diverse use cases, recommending tools, and forecasting its impact on software development and the tech industry.
The article analyzes how AI‑driven "Vibe Coding" is shifting programming from line‑by‑line logic to intent‑driven natural‑language interaction, presents data on developer adoption, compares three programming eras, examines tool ecosystems, showcases real‑world case studies, and outlines the skills developers must master to stay relevant in 2026.
Alibaba’s Meoo tool, used by over 10,000 non‑technical employees, lowers the execution barrier of software creation but shifts the real challenge to expressing clear requirements, prompting a deeper look at AI‑driven software democratization and its impact on developers and cloud strategy.
The author argues that traditional coding is dying as AI-powered tools such as Cursor enable non‑technical users to build and deploy functional software, highlighting faster development cycles, lower costs, and a shift in power dynamics that could reshape the future of programming.
The article explains how rapid AI, low‑code, and edge‑computing autonomy erode the CIO’s traditional gate‑keeping role, illustrates four real‑world cases of bypassed IT oversight, and proposes a four‑stage roadmap for CIOs to shift from custodians to digital orchestrators.
This guide shows how to redesign a company's procurement ledger using a low‑code platform, turning a simple record sheet into a decision‑oriented system with request, execution, financial, and dashboard modules that give managers instant insight into costs and process control.
The article explains why traditional report development has lagged behind AI advances, introduces the Ruankian Report Copilot that shifts interaction from graphical to language‑based interfaces, and details its rule‑engine architecture, practical command examples, advantages over generic LLMs, and its low‑cost, private‑deployment strategy.
This article explains what a process engine is, its role in workflow and BPM, outlines typical application scenarios, and details the architectural components and design practices—including organization modeling, form and interface design, and implementation challenges—while highlighting emerging business opportunities such as low‑code platforms and process analytics.
This guide walks developers through a five-step, zero‑cost workflow—using AI‑driven design, code generation, backend integration, Git versioning, and Vercel deployment—to transform a concept into a functional web or mobile app without extensive coding expertise.
The article explains how a natural‑language‑driven AI platform, with pre‑configured agents and parameterized calls, can replace a complex 150‑line SKU‑combination risk‑checking algorithm in e‑commerce, dramatically improving readability, maintainability, development speed, and business value while reducing cost and response time.
Refly is an open‑source Agent Skills Builder that lets you create production‑grade AI workflows in minutes using natural language, offering versioned, reusable skills, runtime intervention, extensive tool integrations, and export options that outperform traditional automation platforms.
This article examines how low‑code platforms can dramatically improve the development speed, cost efficiency, and maintainability of operational back‑ends by offering visual page building, reusable components, one‑click publishing, and native code export, ultimately supporting rapid digital transformation.
Claude Code Workflow Studio is a VSCode extension that lets you visually design, export, and run AI‑driven automation workflows without writing code, offering low cognitive load, AI‑assisted editing, Slack sharing, and Git‑friendly version control for test and data processing scenarios.
Vibe coding leverages large‑language AI models to let developers describe ideas in plain language, automatically generating most of the code, while highlighting its rapid rise, practical tools, prototype‑friendly use cases, and the critical limitations around security, transparency, and the need for human oversight.
This article ranks the 30 most popular Java open‑source projects in 2025, summarizing their stars, activity and core features while highlighting ecosystem trends such as AI integration, low‑code acceleration, cloud‑native maturity, domestic adoption and the evolution of microservice governance.
A product manager explains why Axure and similar prototyping tools are becoming less practical for B‑to‑B projects, discusses low‑code delivery, compares Sketch, Axure, and MoDao, and offers concrete fixes for common Axure layout issues.
This guide shows how to use the open‑source BISHENG low‑code platform, ByteDance’s Seed‑1.6 and Seedream‑4.5 models, and a custom MCP server to build a workflow that uploads documents, performs RAG, generates structured PPT outlines with LLMs, creates page images via text‑to‑image models, and assembles a downloadable PDF, all while incorporating human‑in‑the‑loop controls.
The article forecasts that AI-driven visual programming (ViBE) will reshape software creation by enabling natural‑language to visual code conversion, real‑time multimodal collaboration, and automated enterprise workflows, dramatically accelerating development and lowering entry barriers for both developers and learners over the next half‑decade.
Bisheng, an open‑source LLM DevOps platform, solves the fragmented, high‑threshold, and compliance‑heavy challenges of enterprise AI by offering a zero‑code visual workflow, all‑in‑one RAG/Agent capabilities, strict security controls, and high‑precision document parsing, enabling rapid, secure AI application rollout.
This article provides a comprehensive, hands‑on guide to Coze's knowledge base, covering its core concepts, key features, practical use‑case scenarios, detailed creation steps, configuration options, prompt design, testing methods, and a comparison with variables, memory, and databases.
This article recounts how Zilliz leveraged the low‑code platform Dify to integrate large‑model AI, private data, and business logic, transforming an eight‑minute, manual sales‑lead workflow into a seconds‑level automated pipeline and illustrating a new human‑AI collaboration paradigm.
Learn how to create flexible, low‑code dynamic forms by leveraging JSON Schema with SpringBoot on the backend and Vue3 on the frontend, covering schema definition, validation, storage, API design, and automatic UI rendering, plus advanced tips for versioning, low‑code builders, and multi‑platform support.
FastMCP lets Python developers replace hundreds of lines of LLM‑to‑database and API glue code with a 30‑line, low‑code server that offers quick setup, built‑in security, and extensible tool chaining for AI applications.
DripTable, a React‑based dynamic list framework from JD Retail, lets developers quickly generate configurable backend tables using JSON Schema, offering low‑code development, customizable rendering, and extensible components for efficient enterprise UI creation.
In just five minutes, I used the WeaveFox AI coding platform to recreate a quirky "hand‑counting" calculator by prompting natural language, iterating through form‑based tech‑stack selection, and letting multiple AI agents generate, refine, and deploy the full front‑end application.
This article categorizes and compares twelve popular large‑model AI Agent development frameworks—low‑code platforms, basic programming paradigms, advanced code libraries, and multi‑agent systems—detailing their core features, typical use cases, and trade‑offs to help developers choose the most suitable solution.
This article explains what low-code development is, outlines its cost‑saving and accessibility benefits, examines its flexibility, performance, and maintainability drawbacks, and concludes with guidance on when low-code platforms are appropriate for projects.
This technical article examines Kuaishou’s low‑code “Jimu” platform, detailing its architecture, performance bottlenecks, and optimization strategies that enable efficient, high‑quality construction of massive activity pages such as the 2025 CNY campaign.
This guide introduces the open‑source Jianmu CI/CD tool, explains its no‑code/low‑code approach, provides step‑by‑step deployment instructions via Docker‑Compose or Kubernetes, and walks you through creating and running a sample workflow, with links to online demos and resources.
This article compares low‑code development platforms with open‑source large‑model frameworks such as LangChain and LlamaIndex, outlining their features, advantages, limitations, and suitability for building retrieval‑augmented generation (RAG) applications in various enterprise scenarios.
Boston Consulting Group’s report shows that, by combining Gen AI tools like low‑code platforms with systematic testing, selection, and amplification processes, companies can empower all staff to generate, validate, and scale ideas, turning innovation into an organization‑wide capability.
This article introduces Byte's open‑source Coze Loop and Coze Studio platforms, detailing their Apache‑2.0‑licensed architectures, full lifecycle management for AI agents, core features such as prompt engineering, evaluation, observation, and a low‑code visual development environment built with Golang, React, and TypeScript.
This article chronicles the evolution of a quality‑inspection system from a simple finite state machine to a self‑developed, lightweight workflow engine, detailing the motivations, design decisions, implementation steps, challenges faced, and future roadmap for flexible, configurable process orchestration.
This guide walks you through the common pain points of fragmented procurement processes and shows, step by step, how to design, implement, and roll out a low‑code order‑tracking system that provides transparent status, automatic exception alerts, inventory‑order synchronization, and real‑time dashboards for all stakeholders.
This guide walks developers through Dify's native MCP integration—explaining the protocol, showing step‑by‑step configuration, demonstrating usage in agents and chatflows, and presenting real‑world cases like data analysis and travel planning—to accelerate AI application development.
This article details how the open‑source SREWorks frontend evolved through a monorepo restructure, selective use of Webpack and Rollup, remote component loading, and build optimizations to achieve a more extensible, plug‑in‑friendly low‑code platform for cloud‑native operations.
This article explores the evolution of low‑code front‑end development, detailing the sw‑frontend architecture, visual designer, component system, dynamic routing, form factories, data handling, and future roadmap for building efficient, serverless, cloud‑native operations interfaces.
This article explains how Text2SQL technology converts natural language queries into executable SQL using large language models, and demonstrates how the open‑source Dify platform’s visual workflow and component‑based development dramatically lower the barrier for building, validating, and deploying secure, low‑code Text2SQL applications.
This guide walks you through creating a functional AI agent using the Coze low‑code platform, covering account setup, goal definition, visual workflow design with large‑model and image‑generation nodes, variable configuration, testing, and publishing the agent to multiple channels.
This article explains what low-code development is, why some programmers resent it, and examines its advantages—such as reduced cost and lower technical barriers—along with its drawbacks like limited flexibility, performance concerns, and vendor lock‑in, concluding with a balanced assessment.
This article explains what a process engine is, distinguishes workflow from BPM, explores common design patterns for process designers, organization structures, form and page design, and presents a detailed architecture guide with code examples and commercial opportunities for building robust backend workflow solutions.
This article demonstrates how to convert a Dify‑built product‑review classification workflow into a Spring AI Alibaba project, detailing the visual design in Dify, DSL export, code generation via Studio or CLI, and showcasing performance gains, flexibility improvements, and practical deployment steps.
This article examines Ctrip's Hetu visual event‑tracking system, comparing it with traditional code‑based tracking, detailing its architecture, SDK modes, configuration workflow, and best‑practice implementations that improve efficiency, reduce coupling, and enhance data reliability across web, app, and mini‑program platforms.
In an exclusive interview, SF Express’s AI leader Liu Ziheng explains how the company builds responsible, safe, and collaborative logistics AI agents, detailing anti‑hallucination mechanisms, private‑cloud deployment, model fine‑tuning, knowledge‑base integration, low‑code platforms, and the technical hurdles to scaling intelligent agents industry‑wide.
This article introduces the Model Context Protocol (MCP), explains its core advantages such as capability expansion, standardized interfaces, and low‑code integration, and demonstrates a practical Sentry‑MCP implementation with Python code, detailed functions, and visual results for AI‑driven data access.
This article compares four leading AI agent development platforms—Coze, Dify, Tencent Yuanqi, and Baidu Wenxin—detailing their strengths, weaknesses, and ideal use cases to help developers and businesses choose the most suitable solution for chatbots, data assistants, or social‑media automation.
This article explores the concept of low-code development, tracing its historical roots, classifying its various forms by code amount, scope, business type and user type, detailing platform compositions with examples, and outlining the three fundamental steps—layout, interaction, and data—required to build effective low-code solutions.
This article introduces Alibaba’s open‑source LowCodeEngine, outlines its browser compatibility, core features, protocol standards, provides installation and initialization code, explains CDN integration options, and showcases the editor’s UI panels and real‑world use cases.
This article compares three leading AI workflow tools—n8n, Dify, and Coze—by examining their origins, technical architectures, core advantages, typical use cases, real‑world case studies, and future deployment trends, helping developers and businesses choose the right "intelligent assistant" for their needs.
The article explains how Tencent’s Wuji low‑code platform uses a de‑templated, data‑first approach, automatic UI inference, progressive development layers, and AI assistance to let developers quickly build and customize a wide range of internal systems while maintaining integration and openness.
The article details how Youzan’s Store Smart Assistant was built on the Feishu Aily platform, describing why Aily was chosen, the three‑stage development process, deep system integration, practical tips for knowledge‑base management and model stability, and the resulting efficiency gains such as handling 80% of routine queries.
This article explores how AI‑powered low‑code platforms transform UX design by enabling designers to turn concepts into functional prototypes, reducing development effort, accelerating validation cycles, and reshaping the workflow from creative ideation to product delivery through real‑world case studies.
The article presents the Business Parameter Configuration Center (BPCC), a declarative platform that automatically generates front‑end pages and corresponding CRUD services, detailing its layered architecture, core concepts such as elements, dimensions, parameters and schemes, SDK query flow, priority rules, multi‑selection handling, import/export workflow, and outlining scenarios where BPCC is unsuitable.
Dify is an open‑source LLM application platform that blends BaaS and LLMOps, offering low‑code development, modular components, extensive model support, and advanced retrieval features, while also detailing its current limitations and recent enhancements such as MySQL integration and Elasticsearch‑based RAG capabilities.
DripTable, an open‑source React and JSON‑Schema based table framework from JD.com, lets developers quickly generate configurable, extensible enterprise‑grade list pages through low‑code setup, with clear installation steps, code examples, and visual configuration tools for both the generator and runtime sides.
This article explains how SPL rule consumption moves data cleaning and preprocessing to the server side, enabling low‑code, high‑performance, cloud‑native real‑time processing that reduces client complexity, latency, and bandwidth costs while integrating with services like Flink and DataWorks.
This article chronicles a step‑by‑step journey of using multiple AI‑driven tools to overcome resource bottlenecks, build small utilities, integrate front‑end code, and implement a complete dataset‑management feature in a full‑stack application, highlighting practical tips and pitfalls.
Model Context Protocol (MCP) is a standard client‑server protocol that enables AI models to access real‑time external data and tools, with detailed explanations of its architecture, practical setup steps, code snippets for Figma integration, and a discussion of current limitations and future prospects.
Alibaba Cloud Log Service’s new SPL‑based rule consumption lets users move complex data‑cleaning logic from client code to the server, offering low‑code configuration, high performance, precise filtering, and significant reductions in latency, bandwidth, and compute resources across typical scenarios such as Python SDK processing and Flink integration.
This article examines low-code platforms, outlining how they can dramatically cut development costs and lower technical barriers while also highlighting their lack of flexibility, performance concerns, vendor lock‑in, and unsuitability for complex projects, helping readers decide when low-code is appropriate.
This article explains how the author leveraged the Cursor AI coding assistant to rapidly prototype a license‑approval workflow system, detailing the project background, required features, technology stack, Cursor’s yolo mode, step‑by‑step usage tips, code examples, and practical reflections on AI‑assisted development.
The article demonstrates how, with Cursor’s AI‑assisted coding and its YOLO mode, a developer can rapidly build a full‑stack license‑approval system—Vue 3 front‑end, Go/Gin back‑end, JWT authentication, MySQL storage—in under a day of effort, highlighting practical tips, limitations, and the broader potential for low‑code creation.
This article examines the origins, promises, and practical limitations of low‑code platforms, evaluates their cost‑saving and efficiency potential in complex financial applications, and outlines where low‑code is suitable, why it often falls short, and how organizations can adopt it wisely.
TDesign, Tencent’s open‑source UI component library, now integrates AI‑powered search that instantly explains terminology, generates code snippets, and creates demo cases, aiming to cut development time and illustrate a broader shift toward AI‑driven tooling in front‑end engineering.
This article shows how a product manager transformed intricate promotion rules—like "spend 300, get 50 off" with exclusions—into a visual, low‑code builder using modular components, natural‑language parsing, safety checks, version control, A/B testing, and collaborative approval flows.
The article presents a graph‑engine‑driven workflow platform that lets developers assemble, orchestrate, and execute intelligent LLM‑based agents with low‑code visual design, fine‑grained path control, hierarchical sub‑flows, and event‑driven hooks, addressing perception, reasoning, planning, and scalability challenges while surpassing existing frameworks.
By leveraging mature graph‑engine technology, the article shows how visual, low‑code workflow orchestration can give intelligent LLM‑based agents fine‑grained path control, reusable functions, hierarchical sub‑flows, and robust error handling, turning complex business tasks into modular, scalable processes adopted by hundreds of thousands of developers.
This guide shows how developers can quickly integrate DeepSeek's powerful language model into WeChat mini‑programs using Tencent Cloud, covering three integration approaches, a three‑step voice‑interaction setup, and a concise list of related cloud products and resources.
This article explains how to use Alibaba's low‑code Magic Pen platform to visually add portal components, configure cloud resources such as VPC and RDS, and efficiently create and publish mobile and PC portal websites while avoiding the high cost and complexity of traditional development.
The article describes the design and development of a low‑code form generation platform built on VueFormMaking, detailing its drag‑and‑drop interface, JSON‑driven component architecture, template configuration and rendering, as well as maintenance practices such as flat configurations, style optimization, testing, and deep‑copy handling for scalability and reliability.
The interview explores how Baidu Cloud's Qianfan AppBuilder platform evolves from traditional coding to AI‑native low‑code development, detailing the impact of large‑model agents, Retrieval‑Augmented Generation, security, multimodal support, and future roadmap on enterprise productivity and digital transformation.
In the AI era, Qunar's front‑end tech director presents how D2C and large‑model‑based code generation dramatically improve front‑end productivity across three business scenarios, achieving up to 55% automated code coverage for both C‑end and B‑end applications.
Bilibili’s Activity Platform low‑code system was completely redesigned over two years, introducing a modular, decoupled architecture with an iframe‑based canvas, unified renderer, and Eva‑CLI tools that cut activity build time from three days to 0.48 days, boosted coverage to 77% of activities, and reduced first‑contentful‑paint by 35%.
The article proposes an AI‑driven front‑end efficiency framework for B2B operation platforms that introduces a JSON‑based protocol layer, SDK, and reusable component library, allowing AI‑generated UI schemas to replace manual coding, dramatically cut development effort, and enable zero‑code, perpetual reuse of UI, logic, and data.
This article introduces a free, low‑code web tool that lets backend developers instantly generate a functional admin‑type frontend UI from database schemas or Java/SQL description files, requiring only minimal configuration and no front‑end coding skills.
By adopting LiteFlow’s lightweight low‑code workflow engine with a workbench‑component‑rule architecture, the team replaced repetitive custom code with configurable pipelines, achieving high decoupling, flexible orchestration, reduced development cost, and improved extensibility for complex business processes, while planning a visual backend platform.
The article surveys the surge of AI programming tools in 2024, illustrating how even non‑programmers can build full applications with AI assistants, compares ChatGPT’s code‑generation workflow with its Code Interpreter feature, and outlines each approach’s strengths and limitations.
The article traces the progression of software development methodologies—from the linear waterfall model to flexible Agile practices, the collaborative DevOps culture, and emerging AI‑driven and low‑code approaches—highlighting their benefits, challenges, and the impact on modern engineering workflows.
This article explains how to generate Flink's StreamGraph, JobGraph, and ExecutionGraph using a low‑code canvas approach, detailing the underlying concepts, the transformation pipeline from DataStream to DAG, and providing Java code examples for building and assembling operators via drag‑and‑drop.
The Meikel Studio team created an intelligent early‑screening system for malignant skin tumors on the PaddleX low‑code AI platform, which automatically captures dermatoscopic images, segments lesions with the PP‑LiteSeg model, achieves high accuracy (mIoU 0.868) and rapid inference, and offers one‑click deployment via RESTful API to improve diagnosis efficiency and support future medical‑imaging applications.
This article details the design and evolution of a low‑code platform used for electronic menu and TV screens in retail stores, covering architecture diagrams, component decomposition, material market, plugin system, schema compatibility, data fetching optimizations, and resource caching strategies to improve scalability and stability.
Microsoft Research’s AutoGen Studio offers a low‑code web and Python interface built on the open‑source AutoGen framework, enabling developers to quickly prototype, enhance, and combine AI agents into complex workflows while providing drag‑and‑drop design, debugging tools, and Azure integration for secure, scalable multi‑agent applications.
The article reviews open‑source and commercial large‑model development platforms—LangChain, Dify, Flowise, and Coze—detailing their architectures, low‑code visual tools, model integrations, extensibility, and a step‑by‑step Dify example, and concludes they are essential infrastructure for rapid AI application deployment.
The July 14 DeWu tech salon showcased how large language models are reshaping frontend development, featuring insights from NetEase, Alibaba, and DeWu experts on AI‑driven low‑code platforms, intelligent coding assistants, and practical implementation strategies, with over 20,000 online viewers.
In 2024 generative AI has moved from isolated coding assistance to a core, team‑wide engine that augments every stage of software development, integrates with low‑code platforms like NetEase’s Tango, and powers specialized tools such as Copilot, Project IDX, and LangBase to boost efficiency, customization, and code quality across enterprises.
This article details Huolala's AI-driven logistics platform, describing the Wukong one‑stop large‑model development environment, its layered architecture, low‑code and zero‑code capabilities, integrated AI tools, monitoring features, and real‑world applications such as Lalabot, intelligent training, and fault analysis.
